Title :
On modeling nonstationary geomagnetic signal
Author_Institution :
Graduate Dept., China Univ. of Min. & Technol., Beijing, China
Abstract :
Based on the smoothness priors constraint, an approach for modeling time series with nonstationary mean is employed in analyzing geomagnetic data during earthquakes. The overall model is fitted by using the Bayesian idea, the Kalman filter and Akeike´s AIC modeling criterion. The trends and irregular components of geomagnetic signals during earthquakes can be modeled simultaneously and the spectrum of irregular components is obtained to analyze frequency features of the geomagnetic field during earthquakes
Keywords :
Bayes methods; Kalman filters; earthquakes; geophysical signal processing; time series; Akeike AIC modeling criterion; Bayesian idea; Kalman filter; earthquakes; frequency features; geomagnetic data; nonstationary geomagnetic signal modeling; nonstationary mean; time series; Bayesian methods; Data analysis; Difference equations; Frequency; Geomagnetism; Maximum likelihood estimation; Signal analysis; Smoothing methods; Stochastic systems; Time series analysis;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770931
